diff --git a/src/app_controller.py b/src/app_controller.py
index ef0f25de..c5a69d08 100644
--- a/src/app_controller.py
+++ b/src/app_controller.py
@@ -4636,6 +4636,12 @@ class AppController:
   """
     [C: src/gui_2.py:App._render_track_proposal_modal]
   """
+  import os as _os
+  _dl = b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log"
+  try:
+   with open(_dl, "ab") as _df:
+    _df.write(b"[DIAG] _cb_accept_tracks called\n")
+  except Exception: pass
   self._show_track_proposal_modal = False
 
   def _bg_task() -> "Result[None]":
@@ -4668,6 +4674,10 @@ class AppController:
     return result
    # Now loop through tracks and call _start_track_logic with generated skeletons
    total_tracks = len(self.proposed_tracks)
+   try:
+    with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log", "ab") as _df:
+     _df.write(f"[DIAG] _bg_task ENTER total_tracks={total_tracks} proposed_ids={[(t.get(chr(105)+chr(100)) if isinstance(t, dict) else getattr(t, chr(105)+chr(100), chr(63))) for t in self.proposed_tracks]}\n".encode())
+   except Exception: pass
    print(f"[DEBUG] _cb_accept_tracks: Starting {total_tracks} tracks...")
    for i, track_data in enumerate(self.proposed_tracks):
     title = track_data.get("title") or track_data.get("goal", "Untitled Track")
@@ -4757,12 +4767,16 @@ class AppController:
    self.ai_status = f"Phase 2: Generating tickets for {title}..."
    skeletons = skeletons_str or "" # Use provided skeletons or empty
    self.ai_status = "Phase 2: Calling Tech Lead..."
-   sys.stderr.write(f"[DEBUG_MMA_FIX] _start_track_logic: ENTER title='{title}' goal='{goal[:60]}' skeletons_len={len(skeletons)}\n")
-   sys.stderr.flush()
+   try:
+    with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log", "ab") as _df:
+     _df.write(f"[DIAG] _start_track_logic_result ENTER title={title!r} goal={goal[:60]!r} skeletons_len={len(skeletons)}\n".encode())
+   except Exception: pass
    _t2_baseline = len(ai_client.get_comms_log())
    raw_tickets = conductor_tech_lead.generate_tickets(goal, skeletons)
-   sys.stderr.write(f"[DEBUG_MMA_FIX] _start_track_logic: generate_tickets returned {len(raw_tickets) if raw_tickets else 0} tickets for '{title}'\n")
-   sys.stderr.flush()
+   try:
+    with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log", "ab") as _df:
+     _df.write(f"[DIAG] _start_track_logic_result AFTER generate_tickets title={title!r} raw_tickets_count={len(raw_tickets) if raw_tickets else 0}\n".encode())
+   except Exception: pass
    _t2_new = ai_client.get_comms_log()[_t2_baseline:]
    _t2_resp = [e for e in _t2_new if e.get("direction") == "IN" and e.get("kind") == "response"]
    _t2_in = sum(e.get("payload", {}).get("usage", {}).get("input_tokens", 0) for e in _t2_resp)
@@ -4806,6 +4820,10 @@ class AppController:
    project_manager.save_track_state(track_id, state, self.active_project_root)
    # Add to memory and notify UI
    self.tracks.append({"id": track_id, "title": title, "status": "todo"})
+   try:
+    with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log", "ab") as _df:
+     _df.write(f"[DIAG] _start_track_logic_result self.tracks.append OK title={title!r} track_id={track_id}\n".encode())
+   except Exception: pass
    with self._pending_gui_tasks_lock:
     self._pending_gui_tasks.append({'action': 'refresh_from_project'})
    # 4. Initialize ConductorEngine and run loop
@@ -4833,9 +4851,11 @@ class AppController:
    return OK
   except (OSError, IOError, ValueError, TypeError, KeyError, AttributeError, RuntimeError) as e:
    import traceback
-   sys.stderr.write(f"[DEBUG_MMA_FIX] _start_track_logic: EXCEPTION for '{title}': {type(e).__name__}: {e}\n")
-   traceback.print_exc(file=sys.stderr)
-   sys.stderr.flush()
+   try:
+    with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mma_diag.log", "ab") as _df:
+     _df.write(f"[DIAG] _start_track_logic_result EXCEPTION title={title!r} {type(e).__name__}: {e}\n".encode())
+     traceback.print_exc(file=_df)
+   except Exception: pass
    err = ErrorInfo(kind=ErrorKind.INTERNAL, message=str(e),
       source="app_controller._start_track_logic_result", original=e)
    return Result(data=None, errors=[err])